A systematic literature review on the application of automation in logistics
B Ferreira, J Reis - Logistics, 2023 - mdpi.com
Background: in recent years, automation has emerged as a hot topic, showcasing its
capacity to perform tasks independently, without constant supervision. While automation has …
capacity to perform tasks independently, without constant supervision. While automation has …
Poverty trends in villages affected by land-based investments in rural Laos
This paper contributes to debates on the implications of land-based investments on local
livelihoods in the Global South. Drawing on a comprehensive national dataset on land …
livelihoods in the Global South. Drawing on a comprehensive national dataset on land …
AI-enabled enterprise information systems for manufacturing
M Zdravković, H Panetto… - Enterprise Information …, 2022 - Taylor & Francis
ABSTRACT This paper considers Enterprise Information Systems functional architecture and
carries out review of AI applications integrated in Customer Relationship Management …
carries out review of AI applications integrated in Customer Relationship Management …
Text visualization for geological hazard documents via text mining and natural language processing
Y Ma, Z Xie, G Li, K Ma, Z Huang, Q Qiu, H Liu - Earth Science Informatics, 2022 - Springer
An increasing number of geological hazard documents about the mechanism and
occurrence process of geological disasters contain unstructured geoscientific data that are …
occurrence process of geological disasters contain unstructured geoscientific data that are …
Weighting construction by bag-of-words with similarity-learning and supervised training for classification models in court text documents
APC Junior, GA Wainer, WP Calixto - Applied Soft Computing, 2022 - Elsevier
Traditional models of bag-of-words for text classification are unable to identify weights for the
co-occurrence of terms, and, mainly, for this reason, they are being replaced by models of …
co-occurrence of terms, and, mainly, for this reason, they are being replaced by models of …
[HTML][HTML] Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?
D Novoa-Paradela, O Fontenla-Romero… - … Applications of Artificial …, 2024 - Elsevier
In the current landscape, user opinions exert an unprecedented influence on the trajectory of
companies. In the field of online review platforms, these opinions, transmitted through text …
companies. In the field of online review platforms, these opinions, transmitted through text …
Product design opportunity identification through mining the critical minority of customer online reviews
Y Li, Y Dong, Y Wang, N Zhang - Electronic Commerce Research, 2023 - Springer
Online reviews that contain customer requirements and expectations are valuable for
product design opportunity identification (PDOI) in customer-centric design. As most reviews …
product design opportunity identification (PDOI) in customer-centric design. As most reviews …
Anomaly detection in consumer review analytics for idea generation in product innovation: Comparing machine learning and deep learning techniques
With the development of big data analytics, consumers' online reviews are becoming
increasingly useful for product innovation with hidden innovative ideas that can be extracted …
increasingly useful for product innovation with hidden innovative ideas that can be extracted …
[HTML][HTML] Sentiment analysis of nuclear energy-related articles and their comments on a portal site in Rep. of Korea in 2010–2019
SY Jeong, JW Kim, YS Kim, HY Joo, JH Moon - Nuclear Engineering and …, 2021 - Elsevier
This paper reviewed the temporal changes in the public opinions on nuclear energy in
Korea with a big data analysis of nuclear energy-related articles and their comments posted …
Korea with a big data analysis of nuclear energy-related articles and their comments posted …
[HTML][HTML] Extracting product competitiveness through user-generated content: A hybrid probabilistic inference model
MF Li, GX Zhang, LT Zhao, T Song - … of King Saud University-Computer and …, 2022 - Elsevier
Abstract A BERT-MDLP-Bayesian Network model (BMB) is proposed to analyze the
improvement strategy of e-commerce products based on user generated content (UGC). The …
improvement strategy of e-commerce products based on user generated content (UGC). The …